Customer experience and contact center operations for Brazilian enterprises
Grupo Elo operates a multi-service customer engagement platform anchored in contact center operations, sales, and back-office processes across Brazil. The tech stack reveals a hybrid architecture: legacy contact-center infrastructure (Genesys, Verint, Teleopti) paired with modern cloud and automation tooling (Power Automate, Power BI, Java/Spring Boot, React, OpenAI, Google Cloud Speech-to-Text). Active projects around voice analytics, RPA-driven legal automation, and AI risk management suggest the company is pushing beyond traditional contact-center work into process intelligence and workflow automation—though hiring remains heavily weighted toward support and sales (20 of 38 roles), indicating operational scaling rather than engineering-led transformation.
Grupo Elo is a São Paulo-headquartered customer experience services group founded in 2012, now operating four subsidiary brands: Elo Contact Center, Conecta, KTS, and TOP. The company serves mid-market and enterprise clients across customer service, sales, collections, specialized services, and back-office processing, with approximately 2,000 employees distributed across offices in São Paulo, Rio de Janeiro, and São Luís. Their service portfolio spans inbound and outbound contact center operations, lead generation, and emerging areas like voice analytics and legal process automation. The engineering footprint is small relative to operational and sales capacity, reflecting a services-first business model supplemented by internal automation and analytics tools.
Grupo Elo uses Genesys, Verint, and Teleopti for core contact center management, supplemented by Google Cloud Speech-to-Text and AWS Transcribe for voice processing, and Payoneer for payment processing.
Grupo Elo has minimal engineering hiring: 1 active engineering role out of 38 total open positions. Current hiring is concentrated in support (11), sales (9), and operations (6), reflecting a services-delivery focus.
Active projects include voice analytics platform development, RPA-based legal process automation, AI risk management implementation, Power BI dashboard expansion, and quality control model development.
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